Characterization of probability distributions on locally compact Abelian groups:

It is well known that if two independent identically distributed random variables are Gaussian, then their sum and difference are also independent. It turns out that only Gaussian random variables have such property. This statement, known as the famous Kac-Bernstein theorem, is a typical example of...

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Bibliographic Details
Main Author: Felʹdman, G. M. (Author)
Format: Electronic eBook
Language:English
Published: Providence, Rhode Island American Mathematical Society [2023]
Series:Mathematical surveys and monographs Volume 273
Subjects:
Online Access:Volltext
Summary:It is well known that if two independent identically distributed random variables are Gaussian, then their sum and difference are also independent. It turns out that only Gaussian random variables have such property. This statement, known as the famous Kac-Bernstein theorem, is a typical example of a so-called characterization theorem. Characterization theorems in mathematical statistics are statements in which the description of possible distributions of random variables follows from properties of some functions of these random variables. The first results in this area are associated with famous 20th century mathematicians such as G. Pólya, M. Kac, S. N. Bernstein, and Yu. V. Linnik. By now, the corresponding theory on the real line has basically been constructed. The problem of extending the classical characterization theorems to various algebraic structures has been actively studied in recent decades. The purpose of this book is to provide a comprehensive and self-contained overview of the current state of the theory of characterization problems on locally compact Abelian groups. The book will be useful to everyone with some familiarity of abstract harmonic analysis who is interested in probability distributions and functional equations on groups.
Item Description:Includes bibliographical references and index
Physical Description:1 Online-Ressource (ix, 240 Seiten)
ISBN:9781470473266
9781470472955
DOI:10.1090/surv/273

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